3 papers
cs.LG2026
Private Vertical Federated Inference for Time-Series
Lucas Fenaux, Larris Xie, Aditya Bang +3
Institutions may benefit from collaborative inference on time-series data. In settings where privacy is necessary, multi-party computation (MPC) is a straightforward approach to pr…
cs.CR2025
Privacy-Preserving Vertical K-Means Clustering
Federico Mazzone, Trevor Brown, Florian Kerschbaum +4
Clustering is a fundamental data processing task used for grouping records based on one or more features. In the vertically partitioned setting, data is distributed among entities,…
cs.LG2024
Jump Starting Bandits with LLM-Generated Prior Knowledge
Parand A. Alamdari, Yanshuai Cao, Kevin H. Wilson
We present substantial evidence demonstrating the benefits of integrating Large Language Models (LLMs) with a Contextual Multi-Armed Bandit framework. Contextual bandits have been…